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Project Introduction
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Classroom Contents
What is Natural Language Processing - NLP Full Course
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- 1 Introduction
- 2 What is NLP
- 3 NLP Roadmap
- 4 What is Python
- 5 Benefits of Python
- 6 Python Libraries
- 7 Data Preprocessing
- 8 Types of Document
- 9 Google Collab
- 10 Read PDF
- 11 Data Pre Processing
- 12 Imputation Techniques
- 13 Tokenization
- 14 Why tokenization
- 15 Line tokenization
- 16 What is steaming
- 17 Why do we need stemming
- 18 Limitization
- 19 Semi and Limitization
- 20 What are Stop Words
- 21 How to remove Stop Words
- 22 Bag of Words
- 23 TFIDF
- 24 What is Machine Learning
- 25 Machine Learning Cycle
- 26 Types of Machine Learning
- 27 Logistic Regression
- 28 Sentiment Analysis
- 29 Project Introduction
